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https://github.com/KhronosGroup/SPIRV-Tools
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9c4481419e
spirv-fuzz features transformations that should be applicable by construction. Assertions are used to detect when such transformations turn out to be inapplicable. Failures of such assertions indicate bugs in the fuzzer. However, when using the fuzzer at scale (e.g. in ClusterFuzz) reports of these assertion failures create noise, and cause the fuzzer to exit early. This change adds an option whereby inapplicable transformations can be ignored. This reduces noise and allows fuzzing to continue even when a transformation that should be applicable but is not has been erroneously created.
71 lines
2.5 KiB
C++
71 lines
2.5 KiB
C++
// Copyright (c) 2020 Vasyl Teliman
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "source/fuzz/fuzzer_pass_permute_function_parameters.h"
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#include <numeric>
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#include <vector>
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#include "source/fuzz/fuzzer_context.h"
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#include "source/fuzz/fuzzer_util.h"
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#include "source/fuzz/instruction_descriptor.h"
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#include "source/fuzz/transformation_permute_function_parameters.h"
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namespace spvtools {
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namespace fuzz {
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FuzzerPassPermuteFunctionParameters::FuzzerPassPermuteFunctionParameters(
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opt::IRContext* ir_context, TransformationContext* transformation_context,
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FuzzerContext* fuzzer_context,
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protobufs::TransformationSequence* transformations,
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bool ignore_inapplicable_transformations)
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: FuzzerPass(ir_context, transformation_context, fuzzer_context,
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transformations, ignore_inapplicable_transformations) {}
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void FuzzerPassPermuteFunctionParameters::Apply() {
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for (const auto& function : *GetIRContext()->module()) {
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uint32_t function_id = function.result_id();
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// Skip the function if it is an entry point
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if (fuzzerutil::FunctionIsEntryPoint(GetIRContext(), function_id)) {
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continue;
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}
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if (!GetFuzzerContext()->ChoosePercentage(
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GetFuzzerContext()->GetChanceOfPermutingParameters())) {
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continue;
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}
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// Compute permutation for parameters
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auto* function_type =
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fuzzerutil::GetFunctionType(GetIRContext(), &function);
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assert(function_type && "Function type is null");
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// Don't take return type into account
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uint32_t arg_size = function_type->NumInOperands() - 1;
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// Create a vector, fill it with [0, n-1] values and shuffle it
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std::vector<uint32_t> permutation(arg_size);
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std::iota(permutation.begin(), permutation.end(), 0);
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GetFuzzerContext()->Shuffle(&permutation);
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// Apply our transformation
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ApplyTransformation(TransformationPermuteFunctionParameters(
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function_id, GetFuzzerContext()->GetFreshId(), permutation));
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}
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}
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} // namespace fuzz
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} // namespace spvtools
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